SIMULTANEOUS ROUTING AND LOADING METHOD FOR MILK-RUN USING HYBRID GENETIC SEARCH ALGORITHM

Milk-run methodology is proposed to manage the procurement of orders from suppliers. The heuristic solution methods in the literature generally apply stepwise approach to route and load the vehicles. In this study we propose a hybrid genetic local search algorithm which simultaneous solves vehicle routing and order loading problems. This is the main contribution of the study. We consider volume and weight capacities (multi capacitated) of different types of transportation vehicles (heterogeneous fleet). Because of high adaptability and easy utilization, genetic algorithms are the most preferred approach of meta-heuristics. The chromosome structure of the proposed genetic algorithm is constituted by random numbers to eliminate infeasibility. The best chromosome of each generation is improved using local search method during the algorithm runs. We applied the algorithm to a real manufacturing company that produces welding robots and other process automation equipment. The results showed the effectiveness of the algorithm

A novel hybrid genetic local search algorithm for feature selection and weighting with an application in strategic decision making in innovation management

In some applications, one needs not only to determine the relevant features but also provide a preferential ordering among the set of relevant features by weights. This paper presents a novel Hybrid Genetic Local Search Algorithm (HGA) in combination with the k-nearest neighbor classifier for simultaneous feature subset selection and feature weighting, particularly for medium-sized data sets. The performance of the proposed algorithm is compared with the performance of alternative feature subset selection algorithms and classifiers through experimental analyses in the various benchmark data sets publicly available on the UCI database. The developed HGA is then applied to a data set gathered from 184 manufacturing firms in the context of innovation management. The data set consists of scores of manufacturing firms in terms of various factors that are known to influence the innovation performance of manufacturing firms and referred to as innovation determinants, and their innovation performances. HGA is used to determine the relative significance of the innovation determinants. Our results demonstrated that the developed HGA is capable of eliminating the irrelevant features and successfully assess feature weights. Moreover, our work is an example how data mining can play a role in the context of strategic management decision making

AML hastalarında t(15;17) PML-RARA translokasyonunun real time RT-PCR ile 5 yıllık sonuçlarının değerlendirilmesi

Aim: Acute promyelocytic leukemia (APL) is a well-defined subtype of acute myeloid leukemia (AML) specifically characterized by the t(15;17)(q22;q12) translocation. t(15;17) results in the fusion of the genes, promyelocytic leukemia (PML) on chromosome 15 and retinoic acid receptor alpha (RARA) located on 17th chromosome. Translocation is detected by conventional cytogenetic, fluorescence in situ hybridization analyses (FISH) and often a real time quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) method. In this study, quantification of t(15; 17) translocation via real time qRT-PCR was aimed in blood or bone marrow materials belonging to APL pre-diagnosed cases that appealed our department. Materials and Methods: Seventy nine children (7.28 ;plusmn; 5.20 years; 45 M, 34 F) and 359 adults (47.71 ;plusmn; 15.57 years; 193 M, 166 F) were included in the study between the years 2009-2013. Following total RNA isolation from blood or bone marrow materials of the cases, cDNA synthesis was carried out. Then, t(15; 17) translocation was studied by qRT-PCR and quantitated. Results: Two cases from children (3%), and in total 6 tests (5%) were detected positive for t(15;17). The average t(15;17) quantification value was 0.0002 ;plusmn; 0.0003. Twenty six cases of the adults (7%), in total 30 tests (8%) were determined as t(15;17) positive. Average t(15;17) quantification value of these cases was 0.067 ;plusmn; 0.144. Conclusion: The superiority of qRT-PCR compared to conventional cytogenetic studies can be found in the fact that all working steps can be monitored simultaneously during the test and the resulting amplicons can be quantitated. The clinical significance of t(15;17) qualitative determination is, confirmation of the diagnosis, all trans-retinoic acid and trioxide arsenic treatment response prediction and treatment efficacy knowledge in addition to minimal residual disease (MRD) monitoring and ability to identify relapse at early ages.Amaç: Akut promyelösitik lösemi (APL), akut myeloid löseminin (AML) iyi tanımlanmış alt tipidir ve spesifik olarak t(15;17)(q22;q12) translokasyonu ile karakterizedir. t(15;17), 15. kromozom üzerinde bulunan promyelösitik lösemi (PML) ve 17. kromozomda lokalize retinoik asit reseptör alfa (RARA) genlerinin füzyonu sonucu oluşur. Translokasyon varlığı, konvansiyonel sitogenetik, floresan in situ hibridizasyon analizi (FISH) ve sıklıkla gerçek zamanlı kantitatif revers transkriptaz polimeraz zincir reaksiyonu (qRT-PCR) yöntemiyle saptanır. Bu çalışmada, anabilim dalımıza başvuran APL ön tanılı olgulara ait kan ya da kemik iliği materyallerinden t(15;17) translokasyonunun gerçek zamanlı qRT-PCR ile kantitasyonu amaçlanmıştır. Gereç ve Yöntem: Çalışmaya 2009-2013 yılları arasında başvuran 79 çocuk (7.28±5.20 yaş; 45 E, 34 K) ve 359 yetişkin (47.71±15.57 yaş; 193 E, 166 K) olgu dahil edilmiştir. Olguların kan ya da kemik iliği materyallerinden total RNA izolasyonunu takiben cDNA sentezi gerçekleştirilmiştir. Sonrasında, qRT-PCR ile t(15;17) translokasyonu çalışılıp, kantite edilmiştir. Bulgular: Çocuk olgulardan 2'si (%3), toplamda 6 test (%5) t(15;17) için pozitif olarak belirlenmiştir. Bu olgulara ait t(15;17) kantitasyon değeri ortalaması, 0.0002±0.0003’tür. Yetişkin olguların 26'sı (%7), toplamda 30 test (%8) t(15;17) için pozitif olarak belirlenmiştir. Bu olgulara ait t(15;17) kantitasyon değeri ortalaması, 0.067±0,144’tür. Sonuç: qRT-PCR’ın konvensiyonel sitogenetik çalışmalara göre üstünlüğü, tüm çalışma basamaklarının test esnasında eş zamanlı olarak izlenebilmesi ve oluşan amplikonların kantitasyonunun yapılabilmesidir. t(15;17) kalitatif tayininin klinikteki önemi, tanının kesinleştirilmesinde, tüm trans-retinoik asit ve trioksid arsenik tedavisine yanıtın öngörülmesi ve tedavinin yararlılığının bilinmesinde, minimal rezidüel hastalığın (MRH) takibi ve relapsın erken evrede belirlenebilmesidir

The phenotypic and molecular genetic spectrum of Alström syndrome in 44 Turkish kindreds and a literature review of Alström syndrome in Turkey.

Alström syndrome (ALMS) is an autosomal recessive disease characterized by multiple organ involvement, including neurosensory vision and hearing loss, childhood obesity, diabetes mellitus, cardiomyopathy, hypogonadism, and pulmonary, hepatic, renal failure and systemic fibrosis. Alström Syndrome is caused by mutations in ALMS1, and ALMS1 protein is thought to have a role in microtubule organization, intraflagellar transport, endosome recycling and cell cycle regulation. Here, we report extensive phenotypic and genetic analysis of a large cohort of Turkish patients with ALMS. We evaluated 61 Turkish patients, including 11 previously reported, for both clinical spectrum and mutations in ALMS1. To reveal the molecular diagnosis of the patients, different approaches were used in combination, a cohort of patients were screened by the gene array to detect the common mutations in ALMS1 gene, then in patients having any of the common ALMS1 mutations were subjected to direct DNA sequencing or next-generation sequencing for the screening of mutations in all coding regions of the gene. In total, 20 distinct disease-causing nucleotide changes in ALMS1 have been identified, eight of which are novel, thereby increasing the reported ALMS1 mutations by 6% (8/120). Five disease-causing variants were identified in more than one kindred, but most of the alleles were unique to each single patient and identified only once (16/20). So far, 16 mutations identified were specific to the Turkish population, and four have also been reported in other ethnicities. In addition, 49 variants of uncertain pathogenicity were noted, and four of these were very rare and probably or likely deleterious according to in silico mutation prediction analyses. ALMS has a relatively high incidence in Turkey and the present study shows that the ALMS1 mutations are largely heterogeneous; thus, these data from a particular population may provide a unique source for the identification of additional mutations underlying Alström Syndrome and contribute to genotype-phenotype correlation studies. J Hum Genet 2015 Jan; 60(1):1-9

Seismotectonic database of Turkey

Turkey is located in one of the most seismically active regions in the world. Characterizing seismic source zones in this region requires evaluation and integration of geological, geophysical, seismological and geodetical data. This first seismotectonic database for Turkey presented herein was prepared, under the framework of the National Earthquake Strategy and Action Plan-2023. The geographic information system (GIS)-based database includes maps of active faults, catalogues of instrumental and historical earthquakes, moment tensor solutions and data on crustal thickness. On the basis of these data, 18 major seismotectonic zones were delineated for Turkey and the surrounding region. The compilation and storage of the seismotectonic data sets in a digital GIS will allow analyses and systematic updates as new data accrete over time